The Method of Dynamic Routing in Self-Healing Networks

The report proposes a dynamic routing method for Self-healing Networks (ShN). The method takes into account the specific features of ShN. During routing, the flow of service information is reduced. The search for the optimal route is carried out using a convolutional neural network. The method significantly outperforms existing methods when some network nodes fail.

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Publication Details

Published
2024-10-07
DOI
https://doi.org/10.1109/khpiweek61434.2024.10877971
Primary Topic
Energy Efficient Wireless Sensor Networks
Type
article
Field-Weighted Citation Impact
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article

The Method of Dynamic Routing in Self-Healing Networks

Andriy Kovalenko, Nina Kuchuk, Stanislav Partyka, Svitlana Kashkevich et al.
Energy Efficient Wireless Sensor Networks
article

The Method of Dynamic Routing in Self-Healing Networks

Andriy Kovalenko, Nina Kuchuk, Stanislav Partyka, Svitlana Kashkevich, Oleksandr Yankovskyi, S Toporkova Anna
article en

Abstract

The report proposes a dynamic routing method for Self-healing Networks (ShN). The method takes into account the specific features of ShN. During routing, the flow of service information is reduced. The search for the optimal route is carried out using a convolutional neural network. The method significantly outperforms existing methods when some network nodes fail.

Kharkiv National University of Radio Electronics (UA), National Technical University "Kharkiv Polytechnic Institute" (UA), V. N. Karazin Kharkiv National University (UA), National University "Kyiv Aviation Institute" (UA)
Openalex Percentile: Top 68%
Energy Efficient Wireless Sensor Networks
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The Method of Dynamic Routing in Self-Healing Networks — Andriy Kovalenko, Nina Kuchuk, et al. · (2024) | TGRS Research Map | TGRS